Statistical Methods and Their Applications - I

This book has been designed for undergraduate students to meet the course on Statistical Methods and their Applications of B.Sc. Computer Science and B.Sc. Biochemistry curriculum of University of Madras. The book provides a simple, clear and exhaustive treatment of the subject in simple non-mathematical format. The text in this volume covers the topics such as definition and meaning of the term statistics, measures of central tendency, measures of dispersion, meaning of probability, addition theorem, multiplication theorem, Bayes theorem, random variable and its moments, moment generating function, central limit theorem and Tchebecheve's inequality.

Chapter 2 Price: 2.99

Condensation of data is necessary in statistical analysis. This is because a large number of big
figures are not only confusing but also difficult to analyse. Therefore in order to reduce the complexity
of data and to make them comparable it is necessary that various Phenomena which are being
compared are reduced a single figure. The one of such measures is averages or measures of central
tendency. Measure of central Tendency is a typical value of the entire group of data. It describes the
characteristics of the entire mass of data. It reduce the complexity of data and makes them to compare.

Chapter 3 Price: 2.99

In the previous chapter, we have studied about the characteristic numbers averages about which
the values of the observations of the distribution cluster. But these averages are not enough to have a
complete idea of the distribution.

Chapter 5 Price: 2.99

We introduce random variable to associate number to non-number outcomes. A random variable is
described as a variable whose values are determined by chance. The term ‘Variable’ means that its
value cannot be fixed but can take different values under different occasions.